Locally Multipath Adaptive Routing Protocol Resilient to Selfishness and Wormholes

2010 ◽  
pp. 187-200 ◽  
Author(s):  
Farshid Farhat ◽  
Mohammad-Reza Pakravan ◽  
Mahmoud Salmasizadeh ◽  
Mohammad-Reza Aref
Keyword(s):  
Routing Protocol ◽  
Adaptive Routing

Energy Efficient and Reliable Adaptive Routing Protocol in WBANs

2014 ◽  
Vol 35 (6) ◽  
pp. 1520-1524
Author(s):  
Xian-ling Lu ◽  
Neng-ming Peng ◽  
Bao-guo Xu
Keyword(s):  
Routing Protocol ◽  
Energy Efficient ◽  
Adaptive Routing

AQ-Routing: mobility-, stability-aware adaptive routing protocol for data routing in MANET–IoT systems

2019 ◽  
Vol 23 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Abdellatif Serhani ◽  
Najib Naja ◽  
Abdellah Jamali
Keyword(s):  
Routing Protocol ◽  
Adaptive Routing ◽  
Data Routing

Clustering-based Energy Efficient Multipath Adaptive Routing Protocols for Underwater Wireless Sensor Networks

2020 ◽  
Vol 6 (2) ◽  
pp. EC-54-EC-62
Author(s):  
Edy Victor Haryanto ◽  
Keyword(s):  
Routing Protocol ◽  
Routing Protocols ◽  
Energy Efficient ◽  
Transmission Rate ◽  
Adaptive Routing ◽  
Maximum Energy ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Underwater Wireless Sensor Networks

In an underwater wireless sensor network (UWSN), research challenges occur in the availability of new connectivity protocols, sensors, and utilization of energy. One of the issues is to enhance the lifespan of the network without increasing the supply, cost, and level of resources. This paper proposes a conceptual routing protocol for UWSN, known as Energy-Efficient Multipath Adaptive Routing (E2MAR) protocols, which is primarily intended for long-term control with greater energy efficiency and transmission rate. Key development conditions were set by the E2MR and forward nodes are chosen based on the performance index. Different tests are carried out by evaluating E2MR in terms of the number of live nodes, end-to-end latency, packet delivery rate, and maximum energy usage efficiently compared to some other Routing protocols. The lifespan of the network has also been greatly enhanced.

Adaptive routing protocol for urban vehicular networks to support sellers and buyers on wheels

2018 ◽  
Vol 142 ◽  
pp. 168-178 ◽  
Author(s):  
Sourav Kumar Bhoi ◽  
Deepak Puthal ◽  
Pabitra Mohan Khilar ◽  
Joel J.P.C. Rodrigues ◽  
Sanjaya Kumar Panda ◽  
...  
Keyword(s):  
Routing Protocol ◽  
Vehicular Networks ◽  
Adaptive Routing

Disaster Relief Management Using Reinforcement Learning-Based Routing

2021 ◽  
Vol 17 (1) ◽  
pp. 24-37
Author(s):  
Gajanan Madhavrao Walunjkar ◽  
Anne Koteswara Rao ◽  
V. Srinivasa Rao
Keyword(s):  
Reinforcement Learning ◽  
Routing Protocol ◽  
Ad Hoc ◽  
Average Energy ◽  
High Mobility ◽  
Adaptive Routing ◽  
Mobility Model ◽  
Delivery Ratio ◽  
Disaster Area ◽  
Disaster Scenario

Effective disaster management is required for the peoples who are trapped in the disaster scenario but unfortunately when disaster situation occurs the infrastructure support is no longer available to the rescue team. Ad hoc networks which are infrastructure-less networks can easily deploy in such situation. In disaster area mobility model, disaster area is divided into different zones such as incident zone, casualty treatment zones, transport areas, hospital zones, etc. Also, in order to tackle high mobility of nodes and frequent failure of links in a network, there is a need of adaptive routing protocol. Reinforcement learning is used to design such adaptive routing protocol which shows good improvement in packet delivery ratio, delay and average energy consumed.

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